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make_low_rank_matrix — scikit-learn 1.5.2 docum...
n_samples = 100 , n_features = 100 , * , effective_rank = 10 , tail_strength...n_features = 25 , ... effective_rank = 5 , ... tail_strength = 0.01...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_low_rank_matrix.html -
Nearest Neighbors regression — scikit-learn 1.5...
neighbors rng = np . random . RandomState ( 0 ) X_train = np . sort.... rand ( 40 , 1 ), axis = 0 ) X_test = np . linspace ( 0 , 5 ,...scikit-learn.org/stable/auto_examples/neighbors/plot_regression.html -
faq.rst.txt
_faq: ========== Frequently Asked Questions ========== .. currentmodule::...dbscan(X, metric=lev_metric, eps=5, min_samples=2, algorithm='brute')...scikit-learn.org/stable/_sources/faq.rst.txt -
documentMap (documentDefinitionMap) | DBFlute
propertiesHtmlMap = map: { ; df:header = map:{ ; title = [title of PropertiesHTML]...loadDataReverseMap = map: { ; recordLimit = [limit size] # デフォルト:...dbflute.seasar.org/ja/manual/reference/dfprop/documentdefinition/index.html -
SelectFpr — scikit-learn 1.5.2 documentation
SelectFpr ( score_func=<function f_classif> , * , alpha=0.05 ) [source]...chi2 >>> X , y = load_breast_cancer ( return_X_y = True ) >>> X...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFpr.html -
OrthogonalMatchingPursuit — scikit-learn 1.5.2 ...
n_nonzero_coefs = None , tol = None , fit_intercept = True , precompute...>>> X , y = make_regression ( noise = 4 , random_state = 0 ) >>>...scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuit.html -
Version 1.0 — scikit-learn 1.7.dev0 documentation
dataframes when return_X_y=True and as_frame=True . #19011 by Thomas...when using solver='newton-cg' and multi_class!='multinomial' ....scikit-learn.org/dev/whats_new/v1.0.html -
mean_variance_axis — scikit-learn 1.5.2 documen...
weights = None , return_sum_weights = False ) [source]...each feature if axis=0 or each sample if axis=1 . Added in version...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.mean_variance_axis.html -
LeaveOneOut — scikit-learn 1.5.2 documentation
Train: index=[1] Test: index=[0] Fold 1: Train: index=[0] Test:...equivalent to KFold(n_splits=n) and LeavePOut(p=1) where n is the number...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneOut.html -
NearestCentroid — scikit-learn 1.5.2 documentation
NearestCentroid ( metric = 'euclidean' , * , shrink_threshold = None ) [source]...>>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>> clf = NearestCentroid...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html